| 51. | | | Characteristics and treatment response of self-identified problematic Internet users in a behavioral addiction outpatient clinic
|
| 52. | | | Childhood use of coin pusher and crane grab machines, and adult gambling: A conceptual replication of Newall et al. (2021)
|
| 53. | | | Chinese adaptation of the Ten-Item Internet Gaming Disorder Test and prevalence estimate of Internet gaming disorder among adolescents in Taiwan
|
| 54. | | | A clinical evaluation of the DSM-5 criteria for Internet Gaming Disorder and a pilot study on their applicability to further Internet-related disorders
|
| 55. | | | Close-to-win evaluations are affected by the outcome and delay between stopping the wheels in slot machines
|
| 56. | | | Clustering of treatment-seeking women with gambling disorder
|
| 57. | | | Codependence with hypersexual and gambling disorder
|
| 58. | | | Cognitive distortions and ADHD in pathological gambling: A national longitudinal casecontrol cohort study
|
| 59. | | | A cohort study of patients seeking Internet gaming disorder treatment
|
| 60. | | | Comment on: Problematic online gaming and the COVID-19 pandemic - The role of exergames
|
| 61. | | | Common and differential risk factors behind suicidal behavior in patients with impulsivity-related disorders: The case of bulimic spectrum eating disorders and gambling disorder
|
| 62. | | | Comorbid pathological gambling, mental health, and substance use disorders: Health-care services provision by clinician specialty
|
| 63. | | | Comparing football bettors' response to social media marketing differing in bet complexity and account type - An experimental study
|
| 64. | | | Comparing problem gamblers with moderate-risk gamblers in a sample of university students
|
| 65. | | | Comparison of brain connectivity between Internet gambling disorder and Internet gaming disorder: A preliminary study
|
| 66. | | | Comparison of frontostriatal circuits in adolescent nicotine addiction and internet gaming disorder
|
| 67. | | | A comparison of university student and community gamblers: Motivations, impulsivity, and gambling cognitions
|
| 68. | | | A comprehensive model to understand and assess the motivational background of video game use: The Gaming Motivation Inventory (GMI)
|
| 69. | | | Computer playfulness, Internet dependency and their relationships with online activity types and student academic performance
|
| 70. | | | The concept of "harm" in Internet gaming disorder
|
| 71. | | | The concept of recovery in gaming disorder: A scoping review
|
| 72. | | | The conceptual and empirical relationship between gambling, investing, and speculation
|
| 73. | | | The Conceptual Framework of Harmful Gambling: A revised framework for understanding gambling harm
|
| 74. | | | Conceptualizing gambling disorder with the process model of emotion regulation
|
| 75. | | | Conduct problems and depressive symptoms in association with problem gambling and gaming: A systematic review
|
| 76. | | | Confidence and risky decision-making in gambling disorder
|
| 77. | | | Considering existing classic and contemporary proposals for preventing online addiction problems: Some old recipes for new problems
|
| 78. | | | The (co-)occurrence of problematic video gaming, substance use, and psychosocial problems in adolescents
|
| 79. | | | Correlates of frequent gambling and gambling-related chasing behaviors in individuals with schizophrenia-spectrum disorders
|
| 80. | | | A counselling line for problem and pathological gambling in South Africa: Preliminary data analysis
|
| 81. | | | Craving in gambling disorder: A systematic review
|
| 82. | | | A cross-national comparison of problematic gaming behavior and well-being in adolescents
|
| 83. | | | The crucial role of recovery capital in individuals with a gambling disorder
|
| 84. | | | Cybersex addiction: Experienced sexual arousal when watching pornography and not real-life sexual contacts makes the difference
|
| 85. | | | Decreased effective connection from the parahippocampal gyrus to the prefrontal cortex in Internet gaming disorder: A MVPA and spDCM study
|
| 86. | | | Defining and classifying non-substance or behavioral addictions
|
| 87. | | | Delay discounting, risk-taking, and rejection sensitivity among individuals with Internet and Video Gaming Disorders
|
| 88. | | | Depression and anxiety symptoms associated with internet gaming disorder before and during the COVID-19 pandemic: A longitudinal study
|
| 89. | | | Development and validation of a nine-item short screening test for ICD-11 gaming disorder (GAMES test) and estimation of the prevalence in the general young population
|
| 90. | | | Development and validation of a prediction model for online gambling problems based on players' account data
|
| 91. | | | Differences in problem and pathological gambling: A narrative review considering sex and gender
|
| 92. | | | Differences in resting-state functional connectivity according to the level of impulsiveness in patients with internet gaming disorder
|
| 93. | | | Differential transcriptome profile underlying risky choice in a rat gambling task
|
| 94. | | | Disentangling the effects of empathy components on Internet gaming disorder: A study of vulnerable youth in China
|
| 95. | | | Dispositional and online-specific Fear of Missing Out are associated with the development of IUD symptoms in different internet applications
|
| 96. | | | Distinguishing between gaming and gambling activities in addiction research
|
| 97. | | | Do gamblers eat more salt? Testing a latent trait model of covariance in consumption
|
| 98. | | | Does "forced abstinence" from gaming lead to pornography use? Insight from the April 2018 crash of Fortnite's servers
|
| 99. | | | A Dosztojevszkij-hősök játékszenvedélye
|
| 100. | | | Down and Out in London: Addictive Behaviors in Homelessness
|
